Postdoctoral Researcher in - Reading, United Kingdom - University of Reading

University of Reading
University of Reading
Verified Company
Reading, United Kingdom

2 weeks ago

Tom O´Connor

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Tom O´Connor

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Description

Postdoctoral scientists are sought to undertake research into turbulent processes associated with moist convection in the atmosphere. This research will form a major part of a joint NERC / Met Office programme with the aim of significantly improving the representation of turbulence and convection in kilometre and sub-kilometre scale weather and climate models.
A
major element of the programme will be the investigation of results from the WesCon field campaign to measure convective turbulence with storms in the southwest of the UK during summer 2023.

This role will focus n evaluating convection and turbulence in models at km and sub-km scales, including the sensitivity to microphysics parametrization [3]

Other roles advertised focus on:

- the convective environment, specifically the inversion and stable layers as well as the influence of cloud spacing on turbulence and convective dynamics -
SRF44669_Postdoctoral Researcher in the impact of the convective environment on convection and turbulence (CLOUDY TIME Project) [1]
- estimating convective-scale motions and turbulence intensity from Doppler radar observations
  • Postdoctoral Researcher in Radar Remote Sensing of Convection and Turbulence (WOEST)
  • SRF44759 [2]
- parameterization development at km scales
  • Postdoctoral Researcher in the Parameterization of Convective Turbulence in the Convection Grey Zone (CoMorph Project)
  • SRF44609 [4]
- parameterization development at sub-km scales
  • Postdoctoral Researcher in the Parameterization of Convective Turbulence in the Turbulence Grey Zone (HiFi Project)
  • SRF44677 [5]
The roles numbered 4 & 5 will be undertaken in concert to yield a unified treatment across scales.

All five scientists will be expected to work closely together and with the rest of the programme, generating and sharing common data, common tools, and, most importantly, exchanging ideas and insights.


Applicants should have:

-
strong skills in the analysis of observational and/or model data and its interpretation:


  • the ability to formulate, develop or analyse conceptual and mathematical models, and to implement and critically assess these:
-
good communication skills and the disposition to collaborate effectively with both internal and external project members:


  • additional requirements specific to the individual roles, as detailed on the job description for each
To note

Interviews week beginning 17 July 2023


Informal contact details

Alternative informal contact details

Contact name:

Thorwald Stein


Contact name:

Bob Plant


The University is committed to having a diverse and inclusive workforce, supports the gender equality Athena SWAN Charter and the Race Equality Charter, and champions LGBT+ equality.

Applications for job-share, part-time and flexible working arrangements are welcomed and will be considered in line with business needs.
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